Peer‐to‐peer decentralized energy trading in industrial town considering central shared energy storage using alternating direction method of multipliers algorithm
Distributed energy resources are being progressively deployed by industry. The penetration of distributed generation in low voltage (LV) networks can position traditional consumers as market participants. With the improvements in communication networks and the introduction of new energy markets, the...
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| Published in | IET renewable power generation Vol. 16; no. 12; pp. 2579 - 2589 |
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| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Wiley
01.09.2022
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| Online Access | Get full text |
| ISSN | 1752-1416 1752-1424 |
| DOI | 10.1049/rpg2.12490 |
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| Abstract | Distributed energy resources are being progressively deployed by industry. The penetration of distributed generation in low voltage (LV) networks can position traditional consumers as market participants. With the improvements in communication networks and the introduction of new energy markets, these prosumers are incentivized to sell their excess production to other industries by participating in peer‐to‐peer (P2P) energy markets. This market paves the way for developing new technologies such as a shared battery energy storage system (SBESS). In this paper, a central storage unit rents its capacity for the prosumers to reduce the overall peak‐load of the microgrid. Each user requests the required SBESS capacity and calculates the best charging and discharging times to reduce their cost. To this end, this paper organized a P2P energy trading paradigm with the presence of SBESS. The optimization problem was simulated and solved using the alternating direction method of multipliers (ADMM) algorithm. Results demonstrate how combining features of P2P energy trading and SBESS can save up to 29% for the industrial town. |
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| AbstractList | Abstract Distributed energy resources are being progressively deployed by industry. The penetration of distributed generation in low voltage (LV) networks can position traditional consumers as market participants. With the improvements in communication networks and the introduction of new energy markets, these prosumers are incentivized to sell their excess production to other industries by participating in peer‐to‐peer (P2P) energy markets. This market paves the way for developing new technologies such as a shared battery energy storage system (SBESS). In this paper, a central storage unit rents its capacity for the prosumers to reduce the overall peak‐load of the microgrid. Each user requests the required SBESS capacity and calculates the best charging and discharging times to reduce their cost. To this end, this paper organized a P2P energy trading paradigm with the presence of SBESS. The optimization problem was simulated and solved using the alternating direction method of multipliers (ADMM) algorithm. Results demonstrate how combining features of P2P energy trading and SBESS can save up to 29% for the industrial town. Distributed energy resources are being progressively deployed by industry. The penetration of distributed generation in low voltage (LV) networks can position traditional consumers as market participants. With the improvements in communication networks and the introduction of new energy markets, these prosumers are incentivized to sell their excess production to other industries by participating in peer‐to‐peer (P2P) energy markets. This market paves the way for developing new technologies such as a shared battery energy storage system (SBESS). In this paper, a central storage unit rents its capacity for the prosumers to reduce the overall peak‐load of the microgrid. Each user requests the required SBESS capacity and calculates the best charging and discharging times to reduce their cost. To this end, this paper organized a P2P energy trading paradigm with the presence of SBESS. The optimization problem was simulated and solved using the alternating direction method of multipliers (ADMM) algorithm. Results demonstrate how combining features of P2P energy trading and SBESS can save up to 29% for the industrial town. |
| Author | Zare, Kazem Anvari‐Moghaddam, Amjad Mohammadi‐Ivatloo, Behnam Aminlou, Ali Razzaghi, Reza |
| Author_xml | – sequence: 1 givenname: Ali orcidid: 0000-0001-8437-6539 surname: Aminlou fullname: Aminlou, Ali organization: University of Tabriz – sequence: 2 givenname: Behnam orcidid: 0000-0002-0255-8353 surname: Mohammadi‐Ivatloo fullname: Mohammadi‐Ivatloo, Behnam email: Mohammadi@ieee.org organization: University of Tabriz – sequence: 3 givenname: Kazem orcidid: 0000-0003-4729-1741 surname: Zare fullname: Zare, Kazem organization: University of Tabriz – sequence: 4 givenname: Reza surname: Razzaghi fullname: Razzaghi, Reza organization: Monash University – sequence: 5 givenname: Amjad surname: Anvari‐Moghaddam fullname: Anvari‐Moghaddam, Amjad organization: Aalborg University |
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| Title | Peer‐to‐peer decentralized energy trading in industrial town considering central shared energy storage using alternating direction method of multipliers algorithm |
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